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ZBOŘIL, F.; VÍDEŇSKÝ, F.; KOČÍ, R.; ZBOŘIL, F.
Original Title
Late Bindings in AgentSpeak(L)
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
For agents based on BDI theory, some problems remain open. These include parts of the interpretation of these systems that are nondeterministic in the original specifications, and finding methods for their determinism should lead to improved rationality of agent behaviour.These problems include the choice of a plan suitable for achieving the goal, then the choice of the intention to be pursued by the agent at any given time, and if a language based on predicate logic is used to implement such an agent, then there is also the problem of choosing variable substitutions.One such agent-based system is systems using the AgentSpeak(L) language, which is be the basis for this paper. We introduce late binding into the interpretation of this language and show that they do not make the agent lose the possibility of achieving the goal by making unnecessary or incorrect substitutions in cases where such a decision is not necessary. We show that with late binding substitutions the agent operates with all possible substitutions given by the chosen plan to the goals in the plan structure, and that these substitutions are always valid with respect to the acts performed so far within this plan.
English abstract
Keywords
BDI Agents, Planning, Agent Interpretation, AgentSpeak(L)
Key words in English
Authors
RIV year
2023
Released
28.02.2022
Publisher
SciTePress - Science and Technology Publications
Location
Lisabon
ISBN
978-989-758-547-0
Book
Proceedings of the 14th International Conference on Agents and Artificial Intelligence vol. 3
Pages from
715
Pages to
724
Pages count
10
URL
https://www.fit.vut.cz/research/publication/12621/
BibTex
@inproceedings{BUT175854, author="František {Zbořil} and František {Vídeňský} and Radek {Kočí} and František {Zbořil}", title="Late Bindings in AgentSpeak(L)", booktitle="Proceedings of the 14th International Conference on Agents and Artificial Intelligence vol. 3", year="2022", pages="715--724", publisher="SciTePress - Science and Technology Publications", address="Lisabon", doi="10.5220/0010897000003116", isbn="978-989-758-547-0", url="https://www.fit.vut.cz/research/publication/12621/" }
Documents
ICAART_2022_214_CR